LLM API Pricing Comparison
Compare 44 leading large language models in one table. Prices in USD per million tokens. Last checked 2026-07-14.
| Model | Provider | Input | Output | Cached | Context | Quality | Heat |
|---|---|---|---|---|---|---|---|
| Qwen3.5 Flash | 🇨🇳 Alibaba Qwen | $0.029 | $0.29 | — | 131K | — | — |
| Gemini 2.5 Flash-Lite | $0.10 | $0.40 | $0.010 | 1M | — | #160.60T | |
| Qwen3.5 Plus | 🇨🇳 Alibaba Qwen | $0.12 | $0.71 | — | 131K | — | — |
| Doubao 1.5 Pro | 🇨🇳 ByteDance Doubao | $0.12 | $0.29 | $0.024 | 256K | — | — |
| 文心 ERNIE 4.5 Turbo | 🇨🇳 Baidu ERNIE | $0.12 | $0.47 | $0.029 | 128K | — | — |
| 混元 TurboS | 🇨🇳 Tencent Hunyuan | $0.12 | $0.29 | — | 256K | — | — |
| DeepSeek V4 Flash | 🇨🇳 DeepSeek | $0.15 | $0.29 | $0.003 | 1M | 47 | #14.34T |
| 文心 ERNIE X1 Turbo | 🇨🇳 Baidu ERNIE | $0.15 | $0.59 | — | 128K | — | — |
| 混元 T1 | 🇨🇳 Tencent Hunyuan | $0.15 | $0.59 | — | 64K | — | — |
| Gemini 3.1 Flash-Lite | $0.25 | $1.50 | $0.025 | 1M | 34 | — | |
| DeepSeek V3.2Retires 2026-07-24 | 🇨🇳 DeepSeek | $0.29 | $1.18 | $0.074 | 128K | — | #101.18T |
| GLM-4.7 | 🇨🇳 Zhipu AI | $0.29 | $1.18 | $0.059 | 200K | — | — |
| Spark X2 Flash | 🇨🇳 iFlytek Spark | $0.29 | $0.29 | — | 200K | — | — |
| Spark Ultra | 🇨🇳 iFlytek Spark | $0.29 | $0.29 | — | 128K | — | — |
| Baichuan M2 | 🇨🇳 Baichuan AI | $0.29 | $2.95 | — | 192K | — | — |
| Gemini 2.5 Flash | $0.30 | $2.50 | $0.030 | 1M | — | #140.63T | |
| MiniMax M2.7 | 🇨🇳 MiniMax | $0.31 | $1.24 | $0.062 | 1M | 50 | — |
| Doubao 1.6 | 🇨🇳 ByteDance Doubao | $0.35 | $3.54 | — | 256K | — | — |
| Qwen3 Max | 🇨🇳 Alibaba Qwen | $0.37 | $1.47 | — | 131K | — | — |
| DeepSeek V4 Pro | 🇨🇳 DeepSeek | $0.44 | $0.88 | $0.004 | 1M | 52 | #52.06T |
| Spark X2 | 🇨🇳 iFlytek Spark | $0.44 | $0.44 | — | 200K | — | — |
| 混元 2.0 Think | 🇨🇳 Tencent Hunyuan | $0.59 | $2.34 | — | 128K | — | — |
| GLM-5 | 🇨🇳 Zhipu AI | $0.59 | $2.65 | $0.15 | 200K | — | — |
| 文心 ERNIE 5.1 | 🇨🇳 Baidu ERNIE | $0.59 | $2.65 | — | 128K | — | — |
| MiniMax M3 | 🇨🇳 MiniMax | $0.62 | $2.47 | $0.12 | 1M | 55 | #33.38T |
| Baichuan M3 Plus | 🇨🇳 Baichuan AI | $0.74 | $1.33 | — | 192K | — | — |
| GLM-5.1 | 🇨🇳 Zhipu AI | $0.88 | $3.54 | $0.19 | 200K | 51 | — |
| Doubao Seed 2.1 Pro | 🇨🇳 ByteDance Doubao | $0.88 | $4.42 | $0.18 | 256K | — | — |
| Kimi K2.6 | 🇨🇳 Moonshot (Kimi) | $0.96 | $3.98 | $0.16 | 262K | 54 | — |
| Claude Haiku 4.5 | 🇺🇸 Anthropic | $1.00 | $5.00 | $0.10 | 200K | 37 | — |
| Grok Build 0.1 | 🇺🇸 xAI | $1.00 | $2.00 | $0.20 | 256K | — | — |
| Spark Pro | 🇨🇳 iFlytek Spark | $1.03 | $1.03 | — | 128K | — | — |
| GPT-5.1 | 🇺🇸 OpenAI | $1.25 | $10.00 | $0.13 | 400K | — | — |
| Gemini 2.5 Pro | $1.25 | $10.00 | $0.13 | 2M | 35 | — | |
| Grok 4.3 | 🇺🇸 xAI | $1.25 | $2.50 | $0.20 | 1M | 53 | — |
| Gemini 3.5 Flash | $1.50 | $9.00 | $0.15 | 1M | 55 | #190.45T | |
| Qwen3.7 Max | 🇨🇳 Alibaba Qwen | $1.77 | $5.30 | — | 1M | 57 | — |
| Gemini 3.1 Pro Preview | $2.00 | $12.00 | $0.20 | 2M | 57 | — | |
| GPT-5.4 | 🇺🇸 OpenAI | $2.50 | $15.00 | $0.25 | 400K | — | — |
| Claude Sonnet 4.6 | 🇺🇸 Anthropic | $3.00 | $15.00 | $0.30 | 1M | 52 | #62.03T |
| GPT-5.5 | 🇺🇸 OpenAI | $5.00 | $30.00 | $0.50 | 400K | 60 | #180.47T |
| Claude Opus 4.8 | 🇺🇸 Anthropic | $5.00 | $25.00 | $0.50 | 1M | 61 | #91.32T |
| Claude Opus 4.7 | 🇺🇸 Anthropic | $5.00 | $25.00 | $0.50 | 1M | 57 | #81.71T |
| Claude Fable 5 | 🇺🇸 Anthropic | $10.00 | $50.00 | $1.00 | 1M | — | — |
USD per million tokens · Chinese providers converted at 1 USD = ¥6.7883 · Green = cheapest · Heat = OpenRouter weekly rank by token usage (popularity, not quality; checked 2026-06-11) · Source: official provider pricing pages · For reference only.
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How to pick the most cost-effective LLM
Input vs output pricing.Almost every provider charges separately for input tokens (your prompt) and output tokens (the generation), and output is typically 4–10× more expensive. So “short prompt, long answer” tasks (writing, code generation) are dominated by output price, while “long prompt, short answer” tasks (summarization, classification) are dominated by input price.
Use prompt caching. If your requests share a large repeated prefix (fixed system prompt, RAG context), cached input can cost 10–20% of the normal rate. DeepSeek, OpenAI, Anthropic and Google all support context caching, but the discount varies a lot.
Don’t default to flagships. Mid-tier models like Claude Haiku 4.5, Gemini 2.5 Flash-Lite, Qwen3.5 Flash and DeepSeek V4 Flash are excellent value — for chat, translation, simple generation and classification they are more than enough at 1–5% of flagship cost.
Chinese models are aggressively priced.DeepSeek V4, Qwen, Doubao and Kimi often undercut Western models by an order of magnitude on output price. If latency to China matters or you’re cost-sensitive, they’re worth evaluating — see the dedicated Chinese LLM API pricing comparison in 2026 for all domestic providers in one table. Worried about data residency or training policies? We read all eight providers’ official policies in the Chinese AI API Trust Index.
Need to estimate your real bill? Try the calculators (Chinese UI).